RAG & Retrieval

Retrieval pipelines that ground an agent in your own documents: chunking, embedding, reranking and citation. Retrieval quality, not model choice, is usually what decides whether answers are trustworthy.

1 projects

LlamaIndexRAG & Retrieval

Where most frameworks start from the agent loop, this one starts from the data: ingestion, indexing strategies, and the retrieval patterns that decide whether answers are actually grounded. Reach for it when the hard part of your problem is the corpus rather than the reasoning.

OfficialMIT51.7k+4